Research and innovation

Research and innovation at XITASO – learn more about our the priorities of our research projects here:

AI for industrial applications – turning limited data into real value

AI for industrial applications often grapples with unbalanced data that contains relatively few error cases, causing many AI methods to fail. Our research and innovation is geared at generalised AI solutions that can work effectively in this environment, increasing value and avoiding costly test set-ups for data harvesting. Digital innovations play a vital roll here, especially in areas such as knowledge extraction, neurosymbolic AI and contrastive learning.

AI in healthcare and medical technology – clear focus on privacy and reliability 

Harnessing the full potential of AI in healthcare and medical technology will require infrastructure that prioritises data protection and trust. Our research is therefore focused on explainability, data security and the quantification of uncertainties. We embrace applied research and targeted technology development to craft solutions that people can trust and enjoy working with due to increased AI reliability.

Generative AI – trustworthy technological change  

The rise of generative AI (GenAI) is transforming how we use technology and presenting fresh opportunities for digital innovation. But unanswered questions that we are determined to address still remain. AI is unable to reach judgements based on human common sense, so the trustworthiness of generated content is absolutely crucial for us and our customers. Maintaining the security of stored information is another important aspect of our research and innovation. We also investigate the impact of GenAI on XITASO’s core business, namely software development.

Autonomous systems and robotics – ensuring their reliability and ease of use 

Autonomous systems and robots are increasingly integrated into our everyday lives – from delivery robots and automated trains to cars with self-driving capabilities. We conduct purposeful industrial research to investigate ways of improving the safety and efficiency of these technologies.
Our technology development underpins and expands the standards of software solutions from XITASO for autonomous systems, making them safe, reliable, scalable and user-friendly.

Cybersecurity and cryptographic agility – future-proof 

Our IT systems need to remain secure going forward as well. In a connected world, developing strong protection mechanisms to shield sensitive data from new threats and make systems resistant to cyber attacks is absolutely imperative. Digital innovations are essential here, as they enable fresh approaches to secure data processing and encryption. Cryptographic agility is a vital part of this. It ensures that systems can adapt to novel encryption methods if vulnerabilities are identified in current algorithms. With our applied research, we develop practical solutions to make software systems sustainably future proof.

Industry 4.0 and data spaces – improving industry efficiency 

What the Industrial Internet of Things (IoT) will bring to manufacturing and industrial processes is not just a change, but a revolution. It improves connectivity, creates digital twins of physical devices and systems and ensures the smooth data exchange along the entire supply chain.  Developing data spaces encourages this change by enabling the emergence of interoperable applications and leveraging technology development and efficiency within the industry.